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Looker Developer Jobs in Texas (NOW HIRING)

ETL Developer

Austin, TX · On-site

$50.50 - $66.25/hr

Programming language: JAVA, Python Cloud Platform: GCP Primary Roles & Responsibilities: Manage the ... Provide ongoing support and development for dashboards and reports via Google PLx and Looker Studio.

Warehouse Systems Engineer (WMS) 📍 Location: Fort Worth, TX (Onsite) 💰 Compensation Range ... Build and maintain automated reporting and dashboards in Looker Studio (and Power BI / Tableau) to ...

Warehouse Systems Engineer (WMS) 📍 Location: Fort Worth, TX (Onsite) 💰 Compensation Range ... Build and maintain automated reporting and dashboards in Looker Studio (and Power BI / Tableau) to ...

Sr Business Intelligence Engineer

Temple, TX · Hybrid

$41.25 - $53.50/hr

Transform complex data into actionable insights using Looker, Power BI, Tableau, and Cognos ... Experience working in data engineering/BI environments with modern data stacks. * Strong ...

Experience in managing BI platforms includes Looker, Amazon Quicksight. Experience in designing and delivering complex Plat form architectures * Extensive experience with Python programming, Shell ...

Experience in managing BI platforms includes Looker, Amazon Quicksight. Experience in designing and delivering complex Plat form architectures * Extensive experience with Python programming, Shell ...

Experience in managing BI platforms includes Looker, Amazon Quicksight. Experience in designing and delivering complex Plat form architectures * Extensive experience with Python programming, Shell ...

Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ... Experience with BI and analytics tools such as Power BI, Tableau, Looker, Qlik, or similar.

... engineering teams to ensure data models are accurately implemented across data pipelines ... BI, Tableau, Looker, Qlik, or similar. • Strong understanding of metadata management, data ...

Big Data Engineer

Plano, TX · On-site

$53.50 - $71/hr

Data Engineer Location: TechM US Texas Plano Years of Experience: 7 10 Years Job Summary: We are ... Familiarity with data visualization tools such as Tableau or Looker. Experience with machine ...

New

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

Description The Developer Experience Platform team is building the next generation of AI-powered ... Tableau, Looker, or Power BI Working knowledge of cloud platforms (AWS, GCP, or Azure) and ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Familiarity with BI tools (e.g., Power BI, Tableau, Looker, Alteryx) * Knowledge of dimensional modeling, governance concepts, and structured/unstructured data Education & Experience Needed

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Looker Developer information

See Texas salary details

$40.9K

$118.2K

$176.3K

How much do looker developer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for looker developer in Texas is $118,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,134.00 and $148,184.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Looker Developers, and how can they be successfully managed?

Looker Developers often encounter challenges such as transforming complex business requirements into efficient Looker dashboards, ensuring data accuracy, and managing evolving datasets. Staying updated with the latest Looker features and best practices for LookML can help address technical hurdles, while proactive communication with business users is key to clarifying requirements. Collaboration with data engineers and analysts is typically necessary when troubleshooting data quality or modeling issues. By maintaining an organized workflow and seeking ongoing training, Looker Developers can navigate these obstacles and deliver valuable analytics solutions.

What is a Looker Developer job?

A Looker Developer is a data professional responsible for designing, developing, and optimizing data models, dashboards, and reports using Looker, a business intelligence (BI) and data visualization tool. They work closely with data analysts, engineers, and business stakeholders to translate data into actionable insights. Their tasks often include writing LookML, optimizing SQL queries, and ensuring data accuracy and performance. Looker Developers help organizations make data-driven decisions by creating user-friendly visualizations and scalable data solutions.

What are the key skills and qualifications needed to thrive in the Looker Developer position, and why are they important?

To thrive as a Looker Developer, you need expertise in data modeling, SQL, business intelligence concepts, and experience with the Looker platform. Familiarity with tools like LookML, version control systems, and possibly certifications such as Looker Business Analyst or Developer are highly valued. Strong problem-solving abilities, clear communication, and a collaborative mindset are important soft skills in this role. These skills are crucial to effectively transform raw data into actionable insights and support decision-making for diverse business stakeholders.

What are the most commonly searched types of Looker Developer jobs in Texas? The most popular types of Looker Developer jobs in Texas are:
What job categories do people searching Looker Developer jobs in Texas look for? The top searched job categories for Looker Developer jobs in Texas are:
What cities in Texas are hiring for Looker Developer jobs? Cities in Texas with the most Looker Developer job openings:
Infographic showing various Looker Developer job openings in Texas as of June 2026, with employment types broken down into 74% Full Time, 12% Part Time, 9% Temporary, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $118,230 per year, or $56.8 per hour.

$50.50 - $66.25/hr

Other

Posted 10 days ago


Job description

ETL And Data Analyst Position

Required Skills: Strong ETL, SQL expert with knowledge on Python.

ETL concepts

Data Warehousing concepts

Advanced SQL Concepts

Data Validation/Data Quality Check

CI/CD techniques.

Programming language: JAVA, Python

Cloud Platform: GCP

Primary Roles & Responsibilities:

Manage the end-to-end lifecycle of data pipelines, including extraction, transformation, and loading into the Google Warehouse (GCP).

Conduct in-depth data analysis and apply statistical methods to derive insights.

Execute code development within the designated DEV environment.

Perform comprehensive validation and testing prior to deploying code to UAT or other staging environments.

Document and maintain records of all test outcomes.

Facilitate the code submission process by preparing ChangeLists for peer review.

Oversee the final deployment of code across multiple environments, including UAT, PREPROD, and PROD.

Job Description:

Develop and manage ETL data pipelines to populate the data warehouse using various custom and third-party systems.

Create, deploy, and refine comprehensive full-stack Data and BI solutions, covering everything from extraction and storage to transformation and visualization.

Utilize SQL and Python to build and maintain robust data analysis scripts.

Provide ongoing support and development for dashboards and reports via Google PLx and Looker Studio.

Enhance existing business intelligence tools and create new dashboards to drive organizational growth.

Conduct detailed data examinations and apply statistical analysis techniques.

Monitor performance and implement necessary infrastructure optimizations

Demonstrate excellent collaboration, interpersonal communication and written skills with ability to work in a team environment.

Minimum Qualification:

Candidates must possess at least 6-8 years of professional experience.

Due to the high-velocity nature of this project, individuals with extensive experience will achieve the most effective results.

Responsibilities in this role:

Design, develop, and maintain scalable and robust ETL/ELT processes and data pipelines using various tools and technologies.

Build and optimize data warehouses, data lakes, and other data storage solutions to support analytical and operational needs.

Implement data quality checks and monitoring to ensure the accuracy, completeness, and consistency of data.

Work with large datasets, performing data modeling, schema design, and performance tuning.

Create data models that are easy for BI tools to consume and build dashboard.